# Auction.com Deal Analyzer — ARV, Max Bid & ROI (`haketa/auction-com-deal-analyzer`) Actor

Analyze Auction.com foreclosure and bank-owned properties at scale. Extract live bids, auction dates, ARV, rent, occupancy and property facts; calculate maximum bid, projected profit, ROI, ARV discount, rental yield, deal score and transparent risk flags with your own assumptions.

- **URL**: https://apify.com/haketa/auction-com-deal-analyzer.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🏠 Auction.com Deal Analyzer

### ARV, Maximum Bid, Profit & ROI Intelligence

![Auction.com](https://img.shields.io/badge/Auction.com-Deal%20Intelligence-00A651?style=for-the-badge)
![Output](https://img.shields.io/badge/Output-ARV%20%7C%20Max%20Bid%20%7C%20ROI-1565C0?style=for-the-badge)
![Speed](https://img.shields.io/badge/150%20properties-Under%201%20minute-F9A825?style=for-the-badge)

> **Stop reviewing auction listings one by one. Find the opportunities that match your investment rules first.**

Turn live Auction.com foreclosure and bank-owned listings into an investor-ready opportunity list. Combine auction and property facts with your own assumptions to calculate **maximum bid, projected profit, ROI, ARV discount, rental yield, deal score, and risk flags**.

No black-box estimates. No invented values. Every calculation is transparent and reproducible.

### ✨ From listing data to investment decisions

| Live property data | Investor calculations | Risk intelligence |
|---|---|---|
| Current and starting bid | Maximum bid | Occupied property |
| Auction dates and status | Projected profit and ROI | No interior access |
| Estimated resale value | Discount to ARV | Buyer premium applies |
| Estimated monthly rent | Gross rental yield | Reserve not met |
| Beds, baths, size, location | Bid per square foot | Missing valuation |

#### What you get

- Live foreclosure and bank-owned listings
- Current bid, starting bid, bid count, reserve status, and auction dates
- Estimated resale value and monthly rent ranges when available
- Property facts, address, coordinates, occupancy, and photos
- Maximum bid based on your repair, purchase/holding-cost, and target-profit assumptions
- Projected profit, ROI, ARV discount, bid per square foot, and rental yield
- A comparable 0–100 deal score
- Clear risk flags for conditions requiring review

> **Data quality promise:** missing source values are omitted and clearly flagged. The Actor never invents an ARV, rent, bid, or property fact.

### 🎯 Built for real acquisition workflows

#### 📋 Build a daily acquisition shortlist

Run filtered search URLs and sort by `dealScore`, `projectedRoiPercent`, or `discountToArvPercent`. Start with the strongest candidates instead of opening every property.

#### 💰 Set a disciplined maximum bid

Enter your repair, purchase/holding-cost, and target-profit percentages. `maximumBid` shows the highest price compatible with your rules.

#### 🛡️ Screen foreclosure risk

Find occupied properties, unavailable interior access, buyer premiums, and unmet reserves before assigning expensive due diligence.

#### 🏚️ Source fix-and-flip opportunities

Compare ARV, bid, modeled repair cost, projected profit, and ROI across properties on a consistent basis.

#### 🏠 Research rental opportunities

When rent estimates are available, compare `estimatedMonthlyRent` and `estimatedGrossRentalYieldPercent` across markets.

#### ⚙️ Feed an underwriting workflow

Export JSON, CSV, or Excel, or send results to Google Sheets, Airtable, a database, Make, Zapier, or your internal model.

### 🚀 Start in three steps

1. Apply your preferred filters on an Auction.com residential search page.
2. Paste the resulting URL and choose your underwriting assumptions.
3. Click **Start** and sort the dataset by deal score, ROI, or maximum bid.

#### Quick-start input

```json
{
  "startUrls": [
    { "url": "https://www.auction.com/residential/GA/active_lt/auction_date_order,resi_sort_v2_st/y_nbs" }
  ],
  "maxItems": 150
}
```

`maxItems` is a global limit after duplicate listing IDs are removed. Start with 20–100 records when testing a new workflow.

#### Tune the analysis to your strategy

| Input | Purpose | Default |
|---|---|---:|
| `repairCostPercent` | Repair budget as a percentage of ARV | 15% |
| `closingCostPercent` | Buyer premium, acquisition, holding, closing, and resale costs | 10% |
| `targetProfitPercent` | Minimum desired profit as a percentage of ARV | 15% |

```json
{
  "startUrls": [{ "url": "https://www.auction.com/residential/FL" }],
  "maxItems": 200,
  "repairCostPercent": 20,
  "closingCostPercent": 12,
  "targetProfitPercent": 18,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

### 🧮 Transparent underwriting

All monetary values are in US dollars.

```text
analysis price = current bid, otherwise starting bid
repair cost = ARV × repair cost %
purchase and holding costs = ARV × purchase/holding costs %
target profit = ARV × target profit %
maximum bid = ARV − repair cost − purchase/holding costs − target profit
projected profit = ARV − analysis price − repair cost − purchase/holding costs
projected ROI = projected profit ÷ total estimated investment × 100
discount to ARV = (ARV − analysis price) ÷ ARV × 100
gross rental yield = monthly rent × 12 ÷ analysis price × 100
```

The deal score combines ARV discount and projected ROI, then applies visible deductions for selected risks. It is a screening score—not a hidden valuation or recommendation.

#### Example opportunity

```json
{
  "address": "404 Park Pl, Fairburn, GA 30213",
  "currentBid": 268250,
  "estimatedResaleValue": 299320,
  "maximumBid": 179592,
  "projectedProfit": -43760,
  "projectedRoiPercent": -12.76,
  "dealScore": 9,
  "riskFlags": [
    "OCCUPIED_PROPERTY",
    "NO_INTERIOR_ACCESS",
    "BUYER_PREMIUM_APPLIES",
    "RESERVE_NOT_MET"
  ]
}
```

This example is intentionally not dressed up as a “great deal.” The Actor helps reject weak opportunities as quickly as it helps identify strong ones.

### 📊 Important output fields

| Field | Meaning |
|---|---|
| `listingId` | Stable Auction.com listing identifier |
| `propertyId` | Auction.com property identifier |
| `currentBid` | Current highest visible bid |
| `estimatedResaleValue` | Source-provided estimated resale value after repair |
| `maximumBid` | Highest bid compatible with your assumptions |
| `bidVsMaximumBid` | Positive means the analyzed bid is above your calculated maximum |
| `projectedProfit` | Estimated profit before taxes and unmodeled costs |
| `projectedRoiPercent` | Estimated return on modeled investment |
| `discountToArvPercent` | Current/starting bid discount to ARV |
| `dealScore` | Comparable 0–100 screening score |
| `riskFlags` | Specific conditions requiring review |

### 🚦 Risk flags at a glance

| Risk flag | What to review |
|---|---|
| `MISSING_ESTIMATED_RESALE_VALUE` | Supply an independent valuation before relying on calculations |
| `MISSING_BID_PRICE` | Confirm the live starting or current bid |
| `OCCUPIED_PROPERTY` | Possession, eviction, and access risk |
| `NO_INTERIOR_ACCESS` | Condition and repair-budget uncertainty |
| `BUYER_PREMIUM_APPLIES` | Include the premium in acquisition costs |
| `RESERVE_NOT_MET` | The seller may not accept the current bid |
| `OLDER_PROPERTY` | Allow for additional inspection and repair risk |

Risk flags do not automatically make a property unsuitable. They show where additional due diligence is most valuable.

### 🔌 Use from the API

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('Haketa/auction-com-deal-analyzer').call({
  startUrls: [{ url: 'https://www.auction.com/residential/GA' }],
  maxItems: 100,
  repairCostPercent: 18,
  closingCostPercent: 10,
  targetProfitPercent: 15,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### ✅ Honest data coverage

Auction.com does not publish every field for every property. ARV, rent, reserve state, current bid, occupancy, financing, and interior-access information may be unavailable. Calculations requiring a missing value are omitted instead of guessed.

Each run is a live snapshot. Bids, dates, status, reserve conditions, and inventory can change after extraction.

### ⚡ Fast and cost-conscious

The Actor reads the structured data used by the public results page and does not open a detail page for every item. This keeps 100–200-result runs fast and avoids unnecessary browser and proxy costs.

| Verified cloud test | Result |
|---|---:|
| 150-property run | 34.5 seconds |
| Prefilled 20-property run | 10.6 seconds |
| Duplicate listing IDs | 0 |
| Invalid numeric values | 0 |

Actual performance can vary with source availability and selected filters.

### 🔒 Responsible use

This Actor accesses anonymously visible public listing information and does not log in, save assets, register for auctions, or place bids.

Review Auction.com's terms and applicable law. Use reasonable limits, protect exports, and do not use real-estate data for unlawful discrimination.

Financial outputs are research estimates only. They are not an appraisal, inspection, title report, lending decision, legal or tax advice, or investment recommendation. Independently verify condition, title, liens, occupancy, auction rules, buyer premium, payment requirements, and valuation before bidding.

### 💡 Troubleshooting

#### A calculated field is missing

The required source value—usually ARV or bid price—was unavailable. Check `riskFlags`.

#### A search returns no properties

Open the URL in Auction.com and confirm it currently shows inventory. Try a state-level URL with fewer filters.

#### Should I enable a proxy?

Keep direct access unless your run experiences access errors. A proxy adds cost and can be slower for this source.

***

#### Ready to find the strongest opportunities first?

Add an Auction.com residential search URL, set your assumptions, and click **Start**. Your ranked dataset will be ready in JSON, CSV, Excel, XML, and through the Apify API.

# Actor input Schema

## `startUrls` (type: `array`):

Add Auction.com search-result or property-detail URLs.

## `maxItems` (type: `integer`):

Maximum number of unique properties to save.

## `repairCostPercent` (type: `number`):

Estimated repair budget as a percentage of estimated resale value.

## `closingCostPercent` (type: `number`):

Combined buyer premium, closing, holding and resale costs as a percentage of estimated resale value.

## `targetProfitPercent` (type: `number`):

Minimum desired profit as a percentage of estimated resale value.

## `proxyConfiguration` (type: `object`):

Direct access is currently fastest. Enable an Apify proxy only if your run needs it.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.auction.com/residential/GA/active_lt/auction_date_order,resi_sort_v2_st/y_nbs"
    }
  ],
  "maxItems": 20,
  "repairCostPercent": 15,
  "closingCostPercent": 10,
  "targetProfitPercent": 15,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `listingId` (type: `string`):

No description

## `propertyId` (type: `string`):

No description

## `address` (type: `string`):

No description

## `currentBid` (type: `string`):

No description

## `estimatedResaleValue` (type: `string`):

No description

## `maximumBid` (type: `string`):

No description

## `projectedProfit` (type: `string`):

No description

## `projectedRoiPercent` (type: `string`):

No description

## `dealScore` (type: `string`):

No description

## `riskFlags` (type: `string`):

No description

## `url` (type: `string`):

No description

## `scrapedAt` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.auction.com/residential/GA/active_lt/auction_date_order,resi_sort_v2_st/y_nbs"
        }
    ],
    "maxItems": 20,
    "repairCostPercent": 15,
    "closingCostPercent": 10,
    "targetProfitPercent": 15,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/auction-com-deal-analyzer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.auction.com/residential/GA/active_lt/auction_date_order,resi_sort_v2_st/y_nbs" }],
    "maxItems": 20,
    "repairCostPercent": 15,
    "closingCostPercent": 10,
    "targetProfitPercent": 15,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/auction-com-deal-analyzer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.auction.com/residential/GA/active_lt/auction_date_order,resi_sort_v2_st/y_nbs"
    }
  ],
  "maxItems": 20,
  "repairCostPercent": 15,
  "closingCostPercent": 10,
  "targetProfitPercent": 15,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call haketa/auction-com-deal-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=haketa/auction-com-deal-analyzer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/UAiUmTZUwBCH9MEU8/builds/P8XcIgYd34fU2xbvf/openapi.json